{"id":"W4235735813","doi":"10.29173/slw8247","title":"Nānā I Ke Kumu - Look to the Source","year":2021,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Library Science and Administration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; World Wide Web; Information seeking; Literacy; Library instruction; Information source (mathematics); Digital literacy; Computer science; Internet privacy; Public relations; Library science; Sociology; Pedagogy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004235713,0.0001183732,0.0001230768,0.00005564948,0.001315841,0.001627049,0.0006929457,0.00006084727,0.004024658],"category_scores_gemma":[0.0009015714,0.00009077543,0.00008063555,0.001302159,0.0003038505,0.002543826,0.0001860238,0.0002021636,0.001528393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002721886,"about_ca_system_score_gemma":0.001620867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001826052,"about_ca_topic_score_gemma":0.001343041,"domain_scores_codex":[0.9982131,0.0002619816,0.0002131936,0.0003397901,0.0005193023,0.0004526159],"domain_scores_gemma":[0.9988652,0.0002295626,0.00005800831,0.000402128,0.00005295944,0.0003921195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002667724,0.00005479377,0.04155571,0.00000724799,0.00002409212,0.00003860535,0.01167766,0.0001010763,0.0003037789,0.3511936,0.5817896,0.01322717],"study_design_scores_gemma":[0.00006642541,0.00001693138,0.007620594,0.00001594457,0.00000678043,0.000001614833,0.008828294,0.000008378636,0.001893194,0.01142151,0.9699742,0.0001461833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06553072,0.001003132,0.001371154,0.4019682,0.001921853,0.000503979,0.00001825925,0.0004393062,0.5272434],"genre_scores_gemma":[0.6231849,0.00005054593,0.002692915,0.02741604,0.002105881,0.00003395337,0.0000246329,0.00001994235,0.3444712],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5576542,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202550955809392,"score_gpt":0.2717994926895886,"score_spread":0.2515443971086494,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}